Complex Systems Simulation Data Analysis Toolkit

Develop a comprehensive data analysis toolkit for high-dimensional simulation data from complex scientific systems. Create a modular framework supporting advanced dimensionality reduction, state space reconstruction, and nonlinear dynamical analysis techniques. Implement methods like manifold learning, entropy quantification, and information-theoretic feature extraction to characterize complex system behaviors. Generate interactive visualization tools and provide machine learning models for predicting emergent system dynamics.